Tools tagged with "MCP"

Rasa is an AI agent platform for product teams building customer-facing text and voice assistants. Teams can deploy agents on their own infrastructure and choose their models and data arrangements. Its CALM engine combines language model understanding with business flows whose code enforces rules, so an assistant can handle conversational wording while following defined processes.

ECC is a free, MIT-licensed open source toolkit that adds repeatable engineering workflows to coding assistants. It runs alongside your chosen agent and works with self-hosted models or cloud providers through that agent's supported endpoints. It's for developers who want planning, testing and review to follow a consistent process across coding sessions.

TruLens is an open-source Python tool for developers who need to find why an AI agent gives a wrong answer or spends too much on a task. It pairs step-level traces with evaluation scores, so you can connect failures to retrieval, reasoning or tool calls. It uses the MIT license and can write results to a database you run.

Chrome DevTools MCP gives AI coding assistants access to a live Chrome browser through a locally running MCP server. It's for developers who want their agent to inspect how a web app behaves, investigate errors and measure performance alongside its coding work. It works with clients such as Claude Code, Cursor, Copilot and Antigravity.

mcpo makes MCP tools accessible to AI agents and apps that accept OpenAPI servers, including Open WebUI. It's a self-hosted proxy for developers who want to use existing MCP servers with those apps without writing a separate adapter for each tool. You can run it locally or on your own server with Python or Docker. It's open source under the MIT license.

Latitude is a self-hosted AI agent monitoring platform for teams that need to find production failures and check that fixes work. It connects recurring problems to the sessions that caused them, then can dispatch Claude Code or Cursor with enough context to make a fix and open a pull request.

BoltAI is a native Mac app for people who want local LLMs and cloud AI services in the same workspace. It runs on Intel and Apple Silicon Macs and suits coding, writing, research and document analysis. The interface uses SwiftUI and AppKit.

AstrBot brings AI assistants into messaging apps such as Telegram, Discord, Slack, QQ and WeCom. It's an open source platform under AGPL-3.0 for people building personal companions, customer support bots or team automation. You can run it on your own computer or server, including through Docker, or use its desktop app for browser-style chat.

Cheshire Cat is a self-hosted Python framework for people learning how AI agents work or building custom assistants for research and creative projects. It pairs a local web chat interface with an API, so you can test an agent in conversation and use it inside another application. It's open source under GPL-3.0.

Mattermost Agents brings AI assistants into a self-hosted Mattermost workspace, with a choice of local models or cloud providers. It's for teams that want help with long discussions and meeting recordings while controlling where their collaboration data goes. The plugin is open source under Apache 2.0.

Oterm is a terminal chat client for people who want to use LLMs without leaving their terminal. It connects to Ollama for local models and to cloud providers including OpenAI and Anthropic. Your choice of provider determines where the model runs.

AG2 is an open-source Python framework for developers and researchers building systems where AI agents share work. The code uses the Apache 2.0 license.

text-generation-webui, also called TextGen, runs language models on your own hardware through a desktop app or a self-hosted browser interface. It's for people who want private chat and writing tools, and developers who need a local model API. It works offline without telemetry; web search and page fetching use the internet.

Spring AI is an open-source Java framework for developers adding AI to Spring applications. It connects application data and APIs to models through a common interface, with Ollama support for local LLM use and integrations with cloud providers such as OpenAI, Anthropic and Amazon Bedrock. The framework runs within your application; your choice of model provider determines whether model requests stay local or go to a cloud service.

MCP Inspector is a locally run developer tool for testing Model Context Protocol (MCP) servers. It's for developers building or checking the servers that connect AI applications to tools and data. You can inspect a local server or connect to a remote HTTP endpoint.

Continue is an open-source coding agent available as a CLI, VS Code extension and JetBrains plugin. Continue was acquired by Cursor, and the project is no longer actively maintained. Its repository is read-only, and its software uses the Apache 2.0 license.

Qwen Code is an Apache 2.0 licensed AI coding agent for developers who want help working through a codebase, changing code and checking the result. It runs on macOS, Windows and Linux, with a terminal interface and a desktop app. It builds on Google Gemini CLI and has developed into an agent that can use Qwen models alongside other model providers.

Google ADK is an open-source AI agent framework for developers building applications that carry out multi-step tasks. You can run agents locally in Docker or on your own infrastructure, and connect them to locally running models through adapters. The framework is optimized for Gemini but supports other models and providers. Its Python repository uses the Apache 2.0 license.

Wren AI is a self-hosted data agent for teams and agent builders who need answers based on agreed business definitions. It turns plain-language questions into SQL and interactive dashboards, using the same definitions when someone asks directly or through Claude, ChatGPT or Gemini over MCP.

KoboldCpp pairs local model inference with a browser interface built for chat, creative writing and roleplay. A fork of llama.cpp, it bundles KoboldAI Lite with tools for keeping character details and story context alongside your conversations. It's open source under AGPL-3.0.

Skyvern uses vision models to carry out tasks in a browser, such as filling forms, collecting data, and working through logins. It's for teams automating websites whose layouts change, as well as developers who want AI actions alongside Playwright. Instead of depending on fixed page selectors, it identifies visible elements and decides how to interact with them.

aichat brings Ollama and cloud AI services into the same terminal interface for developers and people who work at the command line. It runs locally on macOS, Linux and Windows, with Android support through Termux. Model processing happens through the backend you choose: Ollama supports local models, while providers such as OpenAI, Claude and Gemini process requests in the cloud.

Semantic Kernel is an MIT-licensed SDK for developers adding AI agents to their applications. It supports local models through Ollama, LMStudio and ONNX, alongside cloud services such as OpenAI and Azure OpenAI. You choose the model backend. The SDK runs on Windows, macOS and Linux and supports C#, Python and Java.

Dyad turns a written idea into a working web app on your desktop. It's for people who want to build without starting from code, as well as developers who want to keep control of the result. The app requires no sign-up and runs on macOS and Windows. Your project files stay on your machine.

Inspect AI is a Python framework for researchers and developers testing language models and AI agents. Developed by the UK AI Security Institute and Meridian Labs, it evaluates coding, reasoning, knowledge, behavior and multimodal understanding, including tasks where agents must take actions to succeed.

Chatbox is an AI chat client for people who want local models and cloud providers in the same app. It connects to Ollama for local LLM use and supports GPT, Claude, Gemini, Grok and DeepSeek with your own API keys. Chatbox also offers its own hosted model service.

mistral.rs is an open source inference engine for running models on your own computer or self-hosted server. It's for developers building AI applications and people who want local chat, multimodal models and agent tools in the same runtime. The Rust project uses the MIT license.

DocsGPT is an MIT-licensed, open-source platform for teams that want AI search, assistants and agents over their own documents. It can run on your servers with local models, including fully air-gapped deployments where documents and questions stay inside your network. Answers include the source title and page number so readers can check the evidence.

PDFMathTranslate translates scientific PDFs while keeping their page layout, formulas, charts, contents pages and annotations. It's for researchers, students and others who need to read papers in another language without losing the relationship between the text and its figures. It produces both translated PDFs and bilingual documents for comparison with the original.

PrivateGPT is a self-hosted API layer for developers building AI applications around local models. It adds document retrieval, database access and agent tools to an existing model server. Local workflows can work offline and keep data within your environment; web search and connections to online providers need internet access.

Windmill turns ordinary scripts into APIs, background jobs and internal apps that teams can share through a browser. It's for developers building internal software, data pipelines or AI agents who want to keep their code and infrastructure under their own control. You can self-host it with Docker or Kubernetes, or use Windmill Cloud, where Windmill hosts the platform.

Local Deep Research is a self-hosted AI research assistant for people who need cited answers drawn from academic papers, the web and their own documents. It can produce a quick summary or pursue a complex question through repeated searches, then assemble a structured report. It's open source under MIT.

txtai is a Python framework for developers building search applications, chat with their data, and AI agents on their own hardware or servers. Its embeddings database combines sparse and dense vector search with graphs and relational data, so the same system can find related content and supply context to language models. It's open source under Apache 2.0.

DSPy is a Python framework for developers building AI applications whose tasks need clear inputs, predictable output types, and measurable results. You define what a language model should produce, then compose those tasks into a larger program. It's open source under the MIT license.

Tiledesk is a self-hosted platform for building AI agents and connecting them to human support teams. It's aimed at businesses automating customer conversations, internal information searches and workflows through a visual builder. You can run it on your own server with Docker or Kubernetes, or use its hosted cloud service.

FastMCP is an open-source Python framework for developers connecting AI agents to their own tools and data through the Model Context Protocol (MCP). It supports locally running servers and connections to remote servers, with server development and client access in the same framework. It uses the Apache 2.0 license.